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  4. Habit learning and brain-machine interfaces (BMI): a tribute to Valentino Braitenberg's "Vehicles"
 
review article

Habit learning and brain-machine interfaces (BMI): a tribute to Valentino Braitenberg's "Vehicles"

Birbaumer, Niels
•
Hummel, Friedhelm C
2014
Biological Cybernetics

Brain-Machine Interfaces (BMI) allow manipulation of external devices and computers directly with brain activity without involvement of overt motor actions. The neurophysiological principles of such robotic brain devices and BMIs follow Hebbian learning rules as described and realized by Valentino Braitenberg in his book "Vehicles," in the concept of a "thought pump" residing in subcortical basal ganglia structures. We describe here the application of BMIs for brain communication in totally locked-in patients and argue that the thought pump may extinguish-at least partially-in those people because of extinction of instrumentally learned cognitive responses and brain responses. We show that Pavlovian semantic conditioning may allow brain communication even in the completely paralyzed who does not show response-effect contingencies. Principles of skill learning and habit acquisition as formulated by Braitenberg are the building blocks of BMIs and neuroprostheses.

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Type
review article
DOI
10.1007/s00422-014-0595-5
Author(s)
Birbaumer, Niels
Hummel, Friedhelm C
Date Issued

2014

Publisher

Springer Verlag

Published in
Biological Cybernetics
Volume

108

Issue

5

Start page

595

End page

601

Subjects

Brain-Computer Interfaces

•

Habits

•

User-Computer Interface

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
UPHUMMEL  
Available on Infoscience
December 23, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/132296
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